A self-driving lab for solution-processed electrochromic thin films

• URL: http://arxiv.org/abs/2512.05989v1
• Date: Fri, 28 Nov 2025 13:19:53 GMT
• Title: A self-driving lab for solution-processed electrochromic thin films
• Authors: Selma Dahms, Luca Torresi, Shahbaz Tareq Bandesha, Jan Hansmann, Holger Röhm, Alexander Colsmann, Marco Schott, Pascal Friederich,
• Abstract summary: Solution-processed electrochromic materials offer high potential for energy-efficient smart windows and displays.<n> complexity of optimizing the spin-coated electrochromic thin layer poses challenges for rapid development.<n>This study demonstrates the use of self-driving laboratories to accelerate the development of electrochromic coatings.
• Score: 33.33717205745349
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Solution-processed electrochromic materials offer high potential for energy-efficient smart windows and displays. Their performance varies with material choice and processing conditions. Electrochromic thin film electrodes require a smooth, defect-free coating for optimal contrast between bleached and colored states. The complexity of optimizing the spin-coated electrochromic thin layer poses challenges for rapid development. This study demonstrates the use of self-driving laboratories to accelerate the development of electrochromic coatings by coupling automation with machine learning. Our system combines automated data acquisition, image processing, spectral analysis, and Bayesian optimization to explore processing parameters efficiently. This approach not only increases throughput but also enables a pointed search for optimal processing parameters. The approach can be applied to various solution-processed materials, highlighting the potential of self-driving labs in enhancing materials discovery and process optimization.

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